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Fair ultimatum: an experimental study of the Myerson value

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  • Noemí NAVARRO
  • Róbert VESZTEG

Abstract

We conduct a laboratory experiment to test the empirical behavior of the bid-and-propose mechanism, defined in Navarro and Perea (2005). This mechanism implements the Myerson value for networks, and therefore its outcome posesses fairness properties. Since the bid-and-propose mechanism includes an ultimatum game in the last stage, we design an experiment with several treatments, where subjects also play the simple ultimatum game. In order to check whether subjectsbehave fairly in the sense of Myerson or they are inequity averse, we compare resultsfrom games with symmetric and asymmetric outside options.

Suggested Citation

  • Noemí NAVARRO & Róbert VESZTEG, 2007. "Fair ultimatum: an experimental study of the Myerson value," Cahiers de Recherches Economiques du Département d'économie 07.05, Université de Lausanne, Faculté des HEC, Département d’économie.
  • Handle: RePEc:lau:crdeep:07.05
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    References listed on IDEAS

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    1. Navarro, Noemí & Perea, Andrés, 2001. "Bargaining in networks and the myerson value," UC3M Working papers. Economics we016121, Universidad Carlos III de Madrid. Departamento de Economía.
    2. David K. Levine, 1998. "Modeling Altruism and Spitefulness in Experiment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(3), pages 593-622, July.
    3. Gary E Bolton & Axel Ockenfels, 1997. "A Theory of Equity, Reciprocity, and Competition," Levine's Working Paper Archive 1889, David K. Levine.
    4. Jackson, Matthew O., 2005. "Allocation rules for network games," Games and Economic Behavior, Elsevier, vol. 51(1), pages 128-154, April.
    5. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    6. Roger B. Myerson, 1977. "Graphs and Cooperation in Games," Mathematics of Operations Research, INFORMS, vol. 2(3), pages 225-229, August.
    7. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    8. Hessel Oosterbeek & Randolph Sloof & Gijs van de Kuilen, 2004. "Cultural Differences in Ultimatum Game Experiments: Evidence from a Meta-Analysis," Experimental Economics, Springer;Economic Science Association, vol. 7(2), pages 171-188, June.
    9. Rabin, Matthew, 1993. "Incorporating Fairness into Game Theory and Economics," American Economic Review, American Economic Association, vol. 83(5), pages 1281-1302, December.
    10. Navarro, Noemi, 2007. "Fair allocation in networks with externalities," Games and Economic Behavior, Elsevier, vol. 58(2), pages 354-364, February.
    11. Binmore, K. & Samuelson, L. & Gale, J., 1993. "Learning to be Imperfect: The Ultimatum Game," Working papers 9325, Wisconsin Madison - Social Systems.
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    Cited by:

    1. Noemí Navarro & Róbert Veszteg, 2008. "Threats and demonstrations of power: experimental results on bilateral bargaining," Working Papers 2008-11, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.

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    More about this item

    Keywords

    experiments; fairness; Myerson value; ultimatum game;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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